F&M Bank (FMBM) Accumulated Expenses (2009 - 2026)
F&M Bank's Accumulated Expenses came in at $4.4 million for Q4 2025, up 22.2% from $3.6 million a year earlier.
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Analysis
F&M Bank (FMBM) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to Q4 2010, F&M Bank's Accumulated Expenses data covers 43 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $3.6 million in FY2024 (unchanged), $3.6 million in FY2023 (+5.9%), $3.4 million in FY2022 (-12.8%) and $3.9 million in FY2021 (+5.9%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses since Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | F&M Bank | 161.60 Mn | 161.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Dec 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Mar 31, 2022 | 251,000.00 |
| Dec 31, 2021 | 3.90 Mn |
| Mar 31, 2021 | 342,000.00 |
| Dec 31, 2020 | 3.68 Mn |
| Mar 31, 2020 | 15.63 Mn |
| Dec 31, 2019 | 3.71 Mn |
| Sep 30, 2019 | 19.60 Mn |
| Jun 30, 2019 | 18.49 Mn |
| Mar 31, 2019 | 18.20 Mn |
| Dec 31, 2018 | 16.68 Mn |
| Sep 30, 2018 | 17.63 Mn |
| Jun 30, 2018 | 16.90 Mn |
| Mar 31, 2018 | 16.55 Mn |
| Dec 31, 2017 | 17.79 Mn |
| Sep 30, 2017 | 17.18 Mn |
API Access
F&M Bank Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FMBM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();